Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies
Author:
Affiliation:
1. Simula Research Laboratory,Oslo,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10043104/10043189/10043282.pdf?arnumber=10043282
Reference47 articles.
1. Adversarial objects against lidar-based autonomous driving systems;cao;ArXiv,2019
2. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
3. Darts: Deceiving autonomous cars with toxic signs;sitawarin;ArXiv,2018
4. DeepTest
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